Titlebook: Advances in Web-Age Information Management; 7th International Co Jeffrey Xu Yu,Masaru Kitsuregawa,Hong Va Leong Conference proceedings 2006

engagement

Bombast

https://doi.org/10.1007/978-3-319-12991-4hemes do, and increases the utilization of each disk allocation unit. This study mathematically analyzes the number of node accesses and evaluates the performance of SAR-tree using real location data. The results show that the proposed index performs better than existing MBR compression schemes.

NIP

M. A. Guerrero,M. M. Carbonell,A. Montoyol for query based IR on documents and clustering documents in order to discover complex relationships among terms and entities. Our experiments on a standard dataset for query based IR shows that our LRD method performed significantly better than traditional vector space model and other five standard statistical methods for vector expansion.

Intact

Confound

RALES

LRD: Latent Relation Discovery for Vector Space Expansion and Information Retrievall for query based IR on documents and clustering documents in order to discover complex relationships among terms and entities. Our experiments on a standard dataset for query based IR shows that our LRD method performed significantly better than traditional vector space model and other five standard statistical methods for vector expansion.

音乐等

Tracking Network-Constrained Moving Objects with Group Updatesate strategy further reduces the total number of objects reporting their locations. A simulation study has been conducted and proved that the group update policy based on the simulation prediction is superior to traditional update policies with fewer updates and higher location precision.

FECK

Advances in Web-Age Information Management978-3-540-35226-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

ineluctable

0302-9743 Overview: 978-3-540-35225-9978-3-540-35226-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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